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Compositional Fairness Constraints for Graph Embeddings

Compositional Fairness Constraints for Graph Embeddings

25 May 2019
A. Bose
William L. Hamilton
    FaML
ArXivPDFHTML

Papers citing "Compositional Fairness Constraints for Graph Embeddings"

6 / 56 papers shown
Title
Algorithmic Fairness
Algorithmic Fairness
Dana Pessach
E. Shmueli
FaML
33
386
0
21 Jan 2020
Man is to Person as Woman is to Location: Measuring Gender Bias in Named
  Entity Recognition
Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition
Ninareh Mehrabi
Thamme Gowda
Fred Morstatter
Nanyun Peng
Aram Galstyan
15
56
0
24 Oct 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training
  Unit
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit
John Palowitch
Bryan Perozzi
19
19
0
25 Sep 2019
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
361
4,237
0
23 Aug 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
236
676
0
17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,092
0
24 Oct 2016
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